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bert-base-german-cased-MLM-eu-or-ddr
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2564
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0187 | 1.0 | 391 | 1.5006 |
| 1.5353 | 2.0 | 782 | 1.3764 |
| 1.4279 | 3.0 | 1173 | 1.3219 |
| 1.3776 | 4.0 | 1564 | 1.2894 |
| 1.3535 | 5.0 | 1955 | 1.2683 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
